Q2 Computer Science ACM SIGBED Review Pub Date : 2019-11-25 DOI:10.1145/3373400.3373402
K. Burns, Vincent Legout, A. Barbalace, B. Ravindran
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引用次数: 1

摘要

我们提出了一个在多核硬件上调度实时虚拟机的框架——PrVM。它解决了以下问题的交集:概率实时调度、虚拟机调度和完全虚拟化。虽然这些问题都被研究过,但它们的交集——由整合多个实时软件堆栈的需要所激发,这些软件堆栈的应用可以通过概率定时属性来定义——在一个单一的嵌入式平台上是空的。PrVM使用概率模型和时效性最优准则。PrVM将虚拟机作为类似服务器的进程进行调度,使用概率方法计算时间预算,并将任务时间预算聚合到虚拟机时间预算中。使用模拟和具体实现的实验评估证实了该框架在综合基准测试和多媒体应用中的有效性。
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PrVM
We present PrVM, a framework for scheduling real-time VMs on multicore hardware. It addresses the intersection of the following problems: probabilistic real-time scheduling, VM scheduling, and full virtualization. Though each of these problems have been studied, their intersection - motivated by the need to consolidate multiple real-time software stacks, whose applications can be defined via probabilistic timing properties, onto a single embedded platform - is empty. PrVM uses a probabilistic model and timeliness optimality criterion. PrVM schedules VMs as server-like processes, computes time budgets using probabilistic methods, and aggregates task time budgets into VM time budgets. Experimental evaluations, using simulations and a concrete implementation, confirm the framework's effectiveness for synthetic benchmarks and multimedia applications.
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ACM SIGBED Review
ACM SIGBED Review Computer Science-Computer Science (miscellaneous)
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